Essays about: "Feed-Forward Artificial Neural Network"

Showing result 1 - 5 of 19 essays containing the words Feed-Forward Artificial Neural Network.

  1. 1. A comparison between Feed-forward and Convolutional Neural Networks for classification of invoice documents

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Erik Svensson; [2022]
    Keywords : ;

    Abstract : Filing invoices under booking accounts can be a time-consuming task that could be alleviated by machine learning algorithms. There are two possible main methods for an algorithm to learn to classify such data: use a machine learning algorithm directly on the images, or extract words as tokens and use a machine learning algorithm on the set of words generated. READ MORE

  2. 2. Application of Deep Q-learning for Vision Control on Atari Environments

    University essay from Lunds universitet/Beräkningsbiologi och biologisk fysik

    Author : Jim Öhman; [2021]
    Keywords : Reinforcement learning; Atari 2600; Deep Q-learning; Myopic Agents; Vision Control; Physics and Astronomy;

    Abstract : The success of Reinforcement Learning (RL) has mostly been in artificial domains, with only some successful real-world applications. One of the reasons being that most real-world domains fail to satisfy a set of assumptions of RL theory. READ MORE

  3. 3. Comparison of linear regression and neural networks for stock price prediction

    University essay from Uppsala universitet/Signaler och system

    Author : Nils Karlsson; [2021]
    Keywords : Stock market; Stock market prediction; prediction; neural network; feed forward neural network; artificial neural network; linear regression; finance; efficient market hypothesis; EMH;

    Abstract : Stock market prediction has been a hot topic lately due to advances in computer technology and economics. One economic theory, called Efficient Market Hypothesis (EMH), states that all known information is already factored into the prices which makes it impossible to predict the stock market. READ MORE

  4. 4. Unsupervised learning of data representations in brain-like neural networks

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Arian Javdan; [2021]
    Keywords : ;

    Abstract : Recently, there has been a growing interest in brain-plausible neural networks that closely resemble the brain’s structure. However, conventional networks do not make good models for the brain since these connections are modelled differently, hence the interest in brain-plausible networks. READ MORE

  5. 5. PREDICTION OF WIND TURBINE BLADE FATIGUE LOADS USING FEED-FORWARD NEURAL NETWORKS

    University essay from Uppsala universitet/Institutionen för geovetenskaper

    Author : Mohammad Mehdi Mohammadi; [2021]
    Keywords : Machine Learning; Feed-Forward Artificial Neural Network; Wind Power; Damage Equivalent Loads; Fatigue; Wind Turbine Blades; NEWA Data; SCADA; Lillgrund Wind Farm;

    Abstract : In recent years, machine learning applications have gained great attention in the wind power industry. Among these, artificial neural networks have been utilized to predict the fatigue loads of wind turbine components such as rotor blades. READ MORE